COVID-19 and firms’ financial health in Brescia: a simulation with Logistic regression and neural networks

Daniela Bragoli, Giovanni Marseguerra, Davide Fedreghini, Tommaso Ganugi, A Bernardi

Risultato della ricerca: Contributo in rivistaArticolo in rivista

Abstract

COVID-19 has generated an unprecedented shock to the global economy causing both the decrease in demand and supply. The purpose of this paper is to simulate the effect of COVID-19 on firms’ financial statements in Brescia. The shocked information is then fed into two bankruptcy models with the aim of providing an up-to-date picture of firms’ economic health in one of the most prosperous industrial areas in Italy and Europe.
Lingua originaleEnglish
pagine (da-a)293-309
Numero di pagine17
RivistaNATIONAL ACCOUNTING REVIEW
Volumevolume 3
DOI
Stato di pubblicazionePubblicato - 2021

Keywords

  • COVID-19
  • neural networks
  • logistic regression
  • financial statements

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